This opportunity to choose can create self-selection bias, and it leads to a biased or
non-random sample. If a researcher must use convenience sampling for their study,
describe how this form of sampling is conducive to self-selection bias and the steps
researchers should take (supported by scholarly sources) to reduce this bias.
To effectively answer the question presented one must first breakdown key words which will
allow a researcher to take the correct steps in correctly answering the question. First, one must
know what convenience sampling is and how will it affect the research that a person is
conducting negatively or positively. Convenience sampling also known as availability sampling
or haphazard is the laziest and probably the worst way to do research because the participants are
available or easy to find
(Check & Schutt, 2012). Selection bias is the process of distorting
information for research by using people who are into it or for the the particular research
problem
(Heckman, 2010)
. For example, a gym is promoting a new protein powder that will give
you enough protein that will help you increase your weight loss and have an amazing taste, but it
is strictly plant based. Since it is being promoted in a gym this creates self-selection bias because
the people in the gym are going to be bias because they are into everything dealing with fitness
so to make this a credible research and to promote effectively the gym must use a wide variety of
people to have a better representation of the population. The purpose of sampling for research is
to provide a sample that is representative of the population that is being utilized to conduct
research on a particular subject. This will ensure that the study conducted on the subject is both
legitimate and ethical from the various points of view about a particular circumstance.
Availability sampling or convenience sampling is the worst form of sampling for research, but
for this form of sampling to be conducive to self-selection bias the research must be translucent
and asking a wide variety of
people who will help with the research. Using quota sampling to
overcome the most evident faults from convenience sample is one approach that the researcher
can take to mitigate the effects of selection bias resulting from convenience sampling (Check &
Schutt, 2012).
Agreeance
